Course

"Machine learning" in which computers make predictions about the future by reading the relationships
behind the data and learning the rule of law, this is, so to speak, a modern magic mirror.
Our laboratory aims to be able to use the modern magic by everyone. For example, "deep learning".
While it becomes possible to automatically perform very sophisticated tasks, why is it possible to do such a thing?
We will do adventurous research to determine the essence of learning. Deep learning requires a large amount of quality data.
In reality, however, data cannot be gathered handily. We are therefore promoting "sparse modeling"
which is a technique to discern essential parts even from small information.
By utilizing this new information processing technology, we maximize the experimental and measurement efficiency for acquiring data.
What is underpinning these technologies is mathematical problem called "optimization problem".
This optimization problem will appear in various scenes. Thus, competition to develop computing technology
dedicated to efficiently solving optimization problems has begun all over the world.
In our laboratory, we are promoting computational techniques using physical processes such as "quantum annealing".
Based on these academic research results, we will change the world by giving back to society widely
through many projects and collaborative research with companies.